Junmin Baek
Papers
3
Total Citations
42
H-Index
3
About
Junmin Baek is a robotics researcher whose work sits at the critical intersection of medical robotics, human-robot interaction, and assistive technology. Baek’s most impactful contribution came in 2020 with the development of a robot-assisted untact swab sampling system for upper respiratory diseases—a timely innovation that addresses the urgent need to protect healthcare workers during infectious disease outbreaks. This telerobotic system, which allows a slave robot to perform 6-degree-of-freedom swab movements controlled via master devices, has garnered 30 citations and represents a significant step forward in reducing infection risks during sample collection. Baek has also advanced the field of robotic calibration, developing methods to maintain consistent precision in 3D trackers, and has explored deep learning approaches for prosthetic hand control—enabling automatic selection of grasping targets from visual input to improve quality of life for amputees. Through these contributions, Baek demonstrates a commitment to creating safer, more capable robotic systems that directly address real-world medical and assistive challenges.
Research Focus
Key Achievements
Top Papers
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